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市场调查报告书
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1803097

全球车队劣化分析市场：预测至 2032 年－按类型、部署方式、车队、最终用户和地区进行分析

Fleet Degradation Analytics Market Forecasts to 2032 - Global Analysis By Type (Operations Management, Vehicle Maintenance & Diagnostics, Performance Management, Fleet Analytics & Reporting and Other Types), Deployment, Fleet, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球车队劣化分析市场预计在 2025 年将达到 24 亿美元，到 2032 年将达到 84 亿美元，预测期内的复合年增长率为 19%。

车队劣化分析利用先进的资料科学、预测模型和物联网驱动的远端资讯处理技术，来监测和预测运输或设备车队的磨损和性能下降。此方法将即时感测器资料与历史维护记录相结合，以预测组件故障、优化资产生命週期管理并最大限度地减少停机时间。应用人工智慧演算法可以帮助组织做出主动的维修决策，降低营运成本并延长车队的使用寿命。

根据 Grand View Research 的调查，随着运输和物流行业越来越多地采用物联网、人工智慧和基于感测器的分析来预测车辆劣化、优化维护、减少停机时间和控制营运费用，车队劣化分析市场正在扩大。

车辆优化需求日益增长

车辆优化需求的日益增长，促使那些希望最大程度减少停机时间、延长车辆使用寿命并提高整体营运效率的公司纷纷采用车队劣化分析技术。联网汽车、远端资讯处理和基于物联网的监控系统的日益普及，使得企业能够更即时地洞察资产绩效。在不断上涨的燃油成本和日益严格的永续性目标的推动下，企业优先考虑能够降低维修频率并优化路线的预测性解决方案。因此，全球范围内对车队管理高阶分析的需求正在显着增长。

分析整合高成本

分析整合的高成本是其广泛应用的一大障碍。部署先进的预测维修系统、人工智慧主导的分析平台和远端资讯处理感测器通常需要大量的资本支出。小型车队营运商尤其面临采用这些解决方案的财务障碍，因为投资回报可能无法立即实现。此外，与系统升级和培训相关的持续费用也加重了负担。这种成本密集的生态系统限制了市场渗透，尤其是在技术基础设施受限的新兴经济体。

采用人工智慧主导的预测车队分析

采用人工智慧主导的预测性车队分析技术，市场成长潜力大。人工智慧和机器学习正在彻底改变车队健康监测，能够在故障发生前检测出劣化的模式。这可以增强决策能力，减少计划外停机时间，并优化车队资产的生命週期成本。此外，与云端基础的整合使该解决方案可扩展且易于跨行业使用。在巨量资料处理技术进步的推动下，人工智慧驱动的车队分析预计将在未来几年为服务供应商和技术供应商带来巨大的商机。

汽车产业需求波动

汽车产业的需求波动为车队劣化分析市场带来了重大挑战。全球供应链的转移、燃油价格波动以及景气衰退直接影响车辆的扩张和更换週期。当汽车销售和租赁活动放缓时，对高级分析工具的投资也往往会下降。此外，原材料供应中断和半导体短缺已经限制了远端资讯处理设备的供应。汽车生态系统的这种週期性特征持续威胁着市场成长的稳定性。

COVID-19的影响：

新冠疫情对车队劣化分析市场产生了双重影响。最初，全球封锁、出行减少和供应链中断抑制了车辆使用和技术采用。然而，电子商务、最后一哩配送和物流韧性策略的蓬勃发展，重新点燃了对分析主导车队管理解决方案的需求。越来越多的公司开始使用预测工具，以最大限度地减少意外故障，并确保在危机情况下的业务连续性。因此，疫情成为车队生态系数位转型的催化剂。

预计车队管理部门将成为预测期内最大的部门

预计车队管理领域将在预测期内占据最大的市场占有率，因为它在优化车队绩效和确保业务永续营运发挥关键作用。车队管理解决方案可实现预测性调度、减少停机时间、燃料监控和即时彙报，所有这些都能显着提高效率。在不断增长的物流和运输需求的推动下，车队营运商越来越重视能够简化管理任务的整合平台。因此，该领域的市场采用率继续占据主导地位。

预计商业机队部分在预测期内将以最高复合年增长率成长

受电子商务、物流和共享出行服务的快速扩张推动，商用车队领域预计将在预测期内实现最高成长率。送货货车、卡车和租赁车队对即时监控和预测性维护的需求日益增长，这加速了分析主导解决方案的采用。此外，严格的排放气体和安全标准合规性也推动商业营运商采用先进技术。因此，预计该领域将在全球市场实现强劲成长。

占比最大的地区：

预计亚太地区将在预测期内占据最大市场占有率，这得益于物流基础设施的扩张、汽车保有量的上升以及政府主导的智慧交通倡议。中国、印度和日本等国家正经历电子商务、零售和製造业领域车辆营运的激增。在快速都市化和数位转型的推动下，该地区的车队营运商正在采用预测分析来降低成本。强劲的需求使亚太地区成为全球市场占有率的领导者。

复合年增长率最高的地区：

预计北美地区在预测期内的复合年增长率最高，这得益于其强劲的技术应用、发达的交通网络以及对人工智慧主导分析的大量投资。美国和加拿大在远端资讯处理整合、巨量资料平台和先进的车辆监控系统方面处于领先地位。此外，对车辆永续性和电气化的日益重视也加速了对预测性维护工具的需求。因此，预计北美地区在车队劣化分析应用方面将实现最快的成长。

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目录

第一章执行摘要

第 2 章 简介

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 主要研究资料
    • 二手研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 市场机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • COVID-19的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 企业之间的竞争

第五章。全球车队劣化分析市场（按类型）

  • 营运管理
    • 车辆追踪和地理围栏
    • 路由和调度
  • 车辆维修与诊断
  • 绩效管理
    • 驾驶员管理
    • 燃料管理
  • 车队分析和报告
  • 其他类型

6. 全球车队劣化分析市场（依部署方法）

  • 云
  • 本地

7. 全球船队劣化分析市场（按船队）

  • 商业船队
    • 轻型商用车
    • 大型商用车
    • 飞机
    • 铁路车辆
    • 水容器
  • 乘用车车队
    • 搭乘用车

8. 全球车队劣化分析市场（依最终用户）

  • 运输/物流
  • 零售
  • 石油和天然气
  • 建设业
  • 政府
  • 其他最终用户

9. 全球车队劣化分析市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併与收购（M&A）
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十一章 公司概况

  • AT and T Inc.
  • Avrios International AG
  • Bridgestone Corp.
  • Chevin Fleet Solutions
  • Donlen Corp.
  • Element Fleet Management Corp.
  • Fleetio
  • Geotab Inc.
  • GPS Insight
  • GURTAM
  • Holman Inc.
  • MiX Telematics Ltd.
  • Motive Technologies Inc.
  • NetraDyne Inc.
  • Samsara Inc.
  • Solera Holdings LLC
  • JSC Teltonika
  • TomTom NV
  • Trimble Inc.
  • Verizon Communications Inc.
Product Code: SMRC30622

According to Stratistics MRC, the Global Fleet Degradation Analytics Market is accounted for $2.4 billion in 2025 and is expected to reach $8.4 billion by 2032 growing at a CAGR of 19% during the forecast period. Fleet Degradation Analytics is the use of advanced data science, predictive modeling, and IoT-driven telematics to monitor and forecast the wear, tear, and performance decline of transportation or equipment fleets. This approach combines real-time sensor data with historical maintenance records to predict component failure, optimize asset lifecycle management, and minimize downtime. By applying AI algorithms, organizations can make proactive repair decisions, reduce operational costs, and extend fleet longevity.

According to Grand View Research, the Fleet Degradation Analytics Market is expanding as transportation and logistics industries increasingly adopt IoT, AI, and sensor-based analytics to predict fleet degradation, optimize maintenance, reduce downtime, and manage operational expenses.

Market Dynamics:

Driver:

Rising need for fleet optimization

Rising need for fleet optimization is spurring the adoption of fleet degradation analytics, as companies seek to minimize downtime, extend vehicle lifespans, and improve overall operational efficiency. The growing use of connected vehicles, telematics, and IoT-based monitoring systems is further enabling real-time insights into asset performance. Fueled by increasing fuel costs and strict sustainability targets, businesses are prioritizing predictive solutions that reduce repair frequency and optimize routes. Consequently, demand for advanced analytics in fleet management is accelerating significantly worldwide.

Restraint:

High costs of analytics integration

High costs of analytics integration remain a major barrier to widespread adoption. The implementation of advanced predictive maintenance systems, AI-driven analytics platforms, and telematics sensors often requires substantial capital expenditure. Smaller fleet operators, in particular, face financial hurdles in adopting such solutions, as return on investment may not be immediate. Additionally, ongoing expenses related to system upgrades and training add to the burden. This cost-intensive ecosystem limits market penetration, especially in developing economies with constrained technological infrastructure.

Opportunity:

AI-driven predictive fleet analytics adoption

AI-driven predictive fleet analytics adoption presents immense potential for market growth. Artificial intelligence and machine learning are revolutionizing fleet health monitoring by detecting degradation patterns before failures occur. This enhances decision-making, reduces unplanned downtime, and optimizes lifecycle costs of fleet assets. Furthermore, integration with cloud-based platforms enables scalable and accessible solutions across industries. Spurred by advancements in big data processing, AI-enabled fleet analytics is expected to create significant opportunities for service providers and technology vendors in the years ahead.

Threat:

Volatility in automotive industry demand

Volatility in automotive industry demand poses a serious challenge to the fleet degradation analytics market. Shifts in global supply chains, fluctuating fuel prices, and economic downturns directly impact fleet expansion and replacement cycles. When vehicle sales or leasing activity slows, investments in advanced analytics tools also tend to decline. Moreover, disruptions in raw material supply and semiconductor shortages have already constrained telematics device availability. This cyclical nature of the automotive ecosystem continues to threaten the consistency of market growth.

Covid-19 Impact:

The Covid-19 pandemic had a dual impact on the fleet degradation analytics market. Initially, global lockdowns, reduced mobility, and supply chain disruptions dampened fleet usage and technology adoption. However, the surge in e-commerce, last-mile delivery, and logistics resilience strategies drove renewed demand for analytics-driven fleet management solutions. Companies increasingly turned to predictive tools to minimize unexpected breakdowns and ensure operational continuity during the crisis. As a result, the pandemic acted as a catalyst for digital transformation within the fleet ecosystem.

The operations management segment is expected to be the largest during the forecast period

The operations management segment is expected to account for the largest market share during the forecast period, owing to its critical role in optimizing fleet performance and ensuring business continuity. Operations management solutions enable predictive scheduling, downtime reduction, fuel monitoring, and real-time reporting, all of which significantly enhance efficiency. Spurred by growing logistics and transportation demands, fleet operators are increasingly prioritizing integrated platforms that streamline management tasks. Consequently, this segment continues to dominate adoption rates in the market.

The commercial fleets segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the commercial fleets segment is predicted to witness the highest growth rate, impelled by rapid expansion in e-commerce, logistics, and shared mobility services. Rising demand for real-time monitoring and predictive maintenance in delivery vans, trucks, and rental fleets is accelerating the adoption of analytics-driven solutions. Furthermore, strict regulatory compliance for emissions and safety standards is pushing commercial operators toward advanced technologies. Consequently, the segment is poised to record robust growth across global markets.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold largest market share, driven by expanding logistics infrastructure, rising vehicle ownership, and government-led smart transportation initiatives. Countries such as China, India, and Japan are witnessing exponential growth in fleet operations across e-commerce, retail, and manufacturing. Fueled by rapid urbanization and digital transformation, fleet operators in this region are embracing predictive analytics to minimize costs. This strong demand positions Asia Pacific as the global leader in market share.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR attributed to strong technological adoption, well-developed transportation networks, and significant investments in AI-driven analytics. The U.S. and Canada are leading in telematics integration, big data platforms, and advanced fleet monitoring systems. Furthermore, rising emphasis on sustainability and electrification of fleets is accelerating demand for predictive maintenance tools. Consequently, North America is expected to record the fastest expansion in fleet degradation analytics adoption.

Key players in the market

Some of the key players in Fleet Degradation Analytics Market include AT and T Inc., Avrios International AG, Bridgestone Corp., Chevin Fleet Solutions, Donlen Corp., Element Fleet Management Corp., Fleetio, Geotab Inc., GPS Insight, GURTAM, Holman Inc., MiX Telematics Ltd., Motive Technologies Inc., NetraDyne Inc., Samsara Inc., Solera Holdings LLC, JSC Teltonika, TomTom NV, Trimble Inc. and Verizon Communications Inc.

Key Developments:

In August 2025, AT&T Inc. introduced enhanced telematics connectivity solutions aimed at improving real-time fleet monitoring accuracy and bandwidth, enabling lower latency data transfer for advanced analytics in commercial fleets.

In July 2025, Avrios International AG rolled out an AI-powered fleet management platform update, integrating predictive maintenance analytics and automated compliance tracking to optimize fleet uptime and reduce operational costs.

In June 2025, Bridgestone Corp. launched new tire health monitoring technology embedded with sensors that provide real-time degradation analytics to fleet operators, improving safety and maintenance scheduling.

Types Covered:

  • Operations Management
  • Vehicle Maintenance & Diagnostics
  • Performance Management
  • Fleet Analytics & Reporting
  • Other Types

Deployments Covered:

  • Cloud
  • On-premises

Fleets Covered:

  • Commercial Fleets
  • Passenger Car Fleets

End Users Covered:

  • Transportation & Logistics
  • Retail
  • Oil & Gas
  • Construction
  • Government
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Fleet Degradation Analytics Market, By Type

  • 5.1 Introduction
  • 5.2 Operations Management
    • 5.2.1 Fleet Tracking & Geo-fencing
    • 5.2.2 Routing & Scheduling
  • 5.3 Vehicle Maintenance & Diagnostics
  • 5.4 Performance Management
    • 5.4.1 Driver Management
    • 5.4.2 Fuel Management
  • 5.5 Fleet Analytics & Reporting
  • 5.6 Other Types

6 Global Fleet Degradation Analytics Market, By Deployment

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-premises

7 Global Fleet Degradation Analytics Market, By Fleet

  • 7.1 Introduction
  • 7.2 Commercial Fleets
    • 7.2.1 Light Commercial Vehicles
    • 7.2.2 Heavy Commercial Vehicles
    • 7.2.3 Aircraft
    • 7.2.4 Railway Vehicles
    • 7.2.5 Watercraft
  • 7.3 Passenger Car Fleets
    • 7.3.1 Private Passenger Cars

8 Global Fleet Degradation Analytics Market, By End User

  • 8.1 Introduction
  • 8.2 Transportation & Logistics
  • 8.3 Retail
  • 8.4 Oil & Gas
  • 8.5 Construction
  • 8.6 Government
  • 8.7 Other End Users

9 Global Fleet Degradation Analytics Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 AT and T Inc.
  • 11.2 Avrios International AG
  • 11.3 Bridgestone Corp.
  • 11.4 Chevin Fleet Solutions
  • 11.5 Donlen Corp.
  • 11.6 Element Fleet Management Corp.
  • 11.7 Fleetio
  • 11.8 Geotab Inc.
  • 11.9 GPS Insight
  • 11.10 GURTAM
  • 11.11 Holman Inc.
  • 11.12 MiX Telematics Ltd.
  • 11.13 Motive Technologies Inc.
  • 11.14 NetraDyne Inc.
  • 11.15 Samsara Inc.
  • 11.16 Solera Holdings LLC
  • 11.17 JSC Teltonika
  • 11.18 TomTom NV
  • 11.19 Trimble Inc.
  • 11.20 Verizon Communications Inc.

List of Tables

  • Table 1 Global Fleet Degradation Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Fleet Degradation Analytics Market Outlook, By Type (2024-2032) ($MN)
  • Table 3 Global Fleet Degradation Analytics Market Outlook, By Operations Management (2024-2032) ($MN)
  • Table 4 Global Fleet Degradation Analytics Market Outlook, By Fleet Tracking & Geo-fencing (2024-2032) ($MN)
  • Table 5 Global Fleet Degradation Analytics Market Outlook, By Routing & Scheduling (2024-2032) ($MN)
  • Table 6 Global Fleet Degradation Analytics Market Outlook, By Vehicle Maintenance & Diagnostics (2024-2032) ($MN)
  • Table 7 Global Fleet Degradation Analytics Market Outlook, By Performance Management (2024-2032) ($MN)
  • Table 8 Global Fleet Degradation Analytics Market Outlook, By Driver Management (2024-2032) ($MN)
  • Table 9 Global Fleet Degradation Analytics Market Outlook, By Fuel Management (2024-2032) ($MN)
  • Table 10 Global Fleet Degradation Analytics Market Outlook, By Fleet Analytics & Reporting (2024-2032) ($MN)
  • Table 11 Global Fleet Degradation Analytics Market Outlook, By Other Types (2024-2032) ($MN)
  • Table 12 Global Fleet Degradation Analytics Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 13 Global Fleet Degradation Analytics Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 14 Global Fleet Degradation Analytics Market Outlook, By On-premises (2024-2032) ($MN)
  • Table 15 Global Fleet Degradation Analytics Market Outlook, By Fleet (2024-2032) ($MN)
  • Table 16 Global Fleet Degradation Analytics Market Outlook, By Commercial Fleets (2024-2032) ($MN)
  • Table 17 Global Fleet Degradation Analytics Market Outlook, By Light Commercial Vehicles (2024-2032) ($MN)
  • Table 18 Global Fleet Degradation Analytics Market Outlook, By Heavy Commercial Vehicles (2024-2032) ($MN)
  • Table 19 Global Fleet Degradation Analytics Market Outlook, By Aircraft (2024-2032) ($MN)
  • Table 20 Global Fleet Degradation Analytics Market Outlook, By Railway Vehicles (2024-2032) ($MN)
  • Table 21 Global Fleet Degradation Analytics Market Outlook, By Watercraft (2024-2032) ($MN)
  • Table 22 Global Fleet Degradation Analytics Market Outlook, By Passenger Car Fleets (2024-2032) ($MN)
  • Table 23 Global Fleet Degradation Analytics Market Outlook, By Private Passenger Cars (2024-2032) ($MN)
  • Table 24 Global Fleet Degradation Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 25 Global Fleet Degradation Analytics Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 26 Global Fleet Degradation Analytics Market Outlook, By Retail (2024-2032) ($MN)
  • Table 27 Global Fleet Degradation Analytics Market Outlook, By Oil & Gas (2024-2032) ($MN)
  • Table 28 Global Fleet Degradation Analytics Market Outlook, By Construction (2024-2032) ($MN)
  • Table 29 Global Fleet Degradation Analytics Market Outlook, By Government (2024-2032) ($MN)
  • Table 30 Global Fleet Degradation Analytics Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.